Athanasios G. Tzioufas

Orcid: 0000-0001-6666-8642

According to our database1, Athanasios G. Tzioufas authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasets.
Patterns, January, 2024

2023
Boosting the performance of MALT lymphoma classification in patients with primary Sjögren's Syndrome through data augmentation: a case study.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
A federated AI-empowered platform for disease management across a Pan-European data driven hub.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains.
Comput. Biol. Medicine, 2021

A federated AI strategy for the classification of patients with Mucosa Associated Lymphoma Tissue (MALT) lymphoma across multiple harmonized cohorts.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Multiple additive regression trees with hybrid loss for classification tasks across heterogeneous clinical data in distributed environments: a case study.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Scoring Primary Sjögren's syndrome affected salivary glands ultrasonography images by using deep learning algorithms.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography Images.
IEEE J. Biomed. Health Informatics, 2020

2019
Medical data quality assessment: On the development of an automated framework for medical data curation.
Comput. Biol. Medicine, 2019

Predicting lymphoma outcomes and risk factors in patients with primary Sjögren's Syndrome using gradient boosting tree ensembles.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
A De-centralized Framework for Data Sharing, Ontology Matching and Distributed Analytics.
Proceedings of the First International Workshop on Semantic Web Technologies for Health Data Management, 2018

Towards the Establishment of a Biomedical Ontology for the Primary Sjögren's Syndrome.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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